| A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising K Wei, Y Fu, J Yang, H Huang IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 228 | 2020 |
| 3-D quasi-recurrent neural network for hyperspectral image denoising K Wei, Y Fu, H Huang IEEE transactions on neural networks and learning systems 32 (1), 363-375, 2020 | 181 | 2020 |
| Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements K Wei, J Yang, Y Fu, D Wipf, H Huang IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 181 | 2019 |
| Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schnlieb, H Huang International Conference on Machine Learning (ICML), 2020 | 105 | 2020 |
| Physics-based noise modeling for extreme low-light photography K Wei, Y Fu, Y Zheng, J Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8520 …, 2021 | 78 | 2021 |
| Deep plug-and-play prior for hyperspectral image restoration Z Lai, K Wei, Y Fu Neurocomputing 481, 281-293, 2022 | 43 | 2022 |
| Crafting object detection in very low light Y Hong*, K Wei*, L Chen, Y Fu BMVC 1 (2), 3, 2021 | 43 | 2021 |
| TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems K Wei, A Aviles-Rivero, J Liang, Y Fu, H Huang, CB Schönlieb Journal of Machine Learning Research 23 (16), 1-48, 2022 | 39 | 2022 |
| Instance segmentation in the dark L Chen, Y Fu, K Wei, D Zheng, F Heide International Journal of Computer Vision 131 (8), 2198-2218, 2023 | 31 | 2023 |
| Low-rank Bayesian tensor factorization for hyperspectral image denoising K Wei, Y Fu Neurocomputing 331, 412-423, 2019 | 26 | 2019 |
| PIRM2018 challenge on spectral image super-resolution: methods and results M Shoeiby, A Robles-Kelly, R Timofte, R Zhou, F Lahoud, S Susstrunk, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 21 | 2018 |
| Dynamic proximal unrolling network for compressive imaging Y Yang, R Tao, K Wei, Y Fu Neurocomputing 510, 203-217, 2022 | 8 | 2022 |
| ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization Z Lai*, K Wei*, Y Fu, P Härtel, F Heide ACM Transactions on Graphics (TOG) 42 (4), 1-19, 2023 | 6 | 2023 |
| Spatially varying nanophotonic neural networks K Wei, X Li, J Froech, P Chakravarthula, J Whitehead, E Tseng, ... arXiv preprint arXiv:2308.03407, 2023 | 4 | 2023 |
| Single-shot Phase Retrieval from a Fractional Fourier Transform Perspective Y Yang, R Tao, K Wei, J Shi IEEE Transactions on Signal Processing, 2024 | 1 | 2024 |
